Apple
Software Engineer - Test and Validation
Austin, Texas, United States
Hardware
Summary
Posted:
Oct 04, 2025
Weekly Hours:
40
Role Number:
200624239-0157
Do you want to make a positive impact on the direction of new, key technologies in consumer products while pioneering the future of intelligent quality assurance?
We're seeking a creative and motivated Software Engineer to join our Product Systems Quality team, working to ensure world-changing Mac and Home products are delivered at the highest quality to all our customers! To achieve this, it requires building large automated frameworks to gather thousands of hours of test data weekly, and we need people like you to help us build and maintain our tools for critical stability testing of Mac and Home products. You’ll plan, design and write code for system stability automation with an emphasis on hardware-centric software risks simultaneously run on a large number of systems. You will be at the nexus of hardware and software where you work cross-functionally with several engineering and QA teams to identify risk areas and testing responses, and to support engineering investigations.
We expect artificial intelligence and machine learning to be at the core of the work, developing next-generation automation tools that predict, prevent, and optimize critical system failures before they impact customers.
Come join our team!
Description
As a Software Engineer you will be responsible for the development of key new areas of Mac and Home stability test coverage enhanced by machine learning capabilities while also balancing the day-to-day operations of existing automation that runs on thousands of units daily.
Responsibilities
Design and implement on-the-fly automated stress and stability hardware-centric software tests for embedded systems
Design and implement ML-powered test automation frameworks and validation tools
Understand the context where an application will be deployed, providing insights to potential failures
Write and update problem reports enhanced with ML analysis that explains issues, predicts root causes, and provides data-driven recommendations for fixes
Analyze large volumes of validation/test data and build predictive models to detect issues early
Thrive in uncertain, rapid project schedules, being able to quickly shift priorities, maximize testing time, and deploy AI solutions that adapt to changing requirements
Ensure scalability, reliability, and maintainability of systems in production environments
Work with cross-functional teams to help collect and define requirements for AI-enhanced tools, automation, and intelligent reporting systems
Provide training on a regular basis and mentor others as needed
Minimum Qualifications
Bachelors degree in CS/CE/EE and a minimum of 5 years relevant industry experience
Solid understanding of machine learning algorithms and their practical application
Knowledge of hardware/software validation, hardware/software integration, or testing methodologies
Strong programming skills and hands-on experience with Python
Experience with CoreML, Swift, and iOS/macOS machine learning development
Experience with relevant ML frameworks (PyTorch, TensorFlow, or JAX)
Experience building robust and scalable tools, frameworks and automation systems
Strong problem-solving skills and ability to work in a cross-disciplinary team environment
Excellent written and verbal communication skills
Preferred Qualifications
Strong verbal and written communication skills
Academic background in data science, machine learning, computer vision, and statistical data analysis
Experience in data analysis and developing data visualizations & reporting with tools such as Tableau or Superset
Experience applying ML to anomaly detection, predictive maintenance, or test optimization
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.
Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .
Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .
Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .
Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Austin, Texas, United States
Hardware
Summary
Posted:
Oct 04, 2025
Weekly Hours:
40
Role Number:
200624239-0157
Do you want to make a positive impact on the direction of new, key technologies in consumer products while pioneering the future of intelligent quality assurance?
We're seeking a creative and motivated Software Engineer to join our Product Systems Quality team, working to ensure world-changing Mac and Home products are delivered at the highest quality to all our customers! To achieve this, it requires building large automated frameworks to gather thousands of hours of test data weekly, and we need people like you to help us build and maintain our tools for critical stability testing of Mac and Home products. You’ll plan, design and write code for system stability automation with an emphasis on hardware-centric software risks simultaneously run on a large number of systems. You will be at the nexus of hardware and software where you work cross-functionally with several engineering and QA teams to identify risk areas and testing responses, and to support engineering investigations.
We expect artificial intelligence and machine learning to be at the core of the work, developing next-generation automation tools that predict, prevent, and optimize critical system failures before they impact customers.
Come join our team!
Description
As a Software Engineer you will be responsible for the development of key new areas of Mac and Home stability test coverage enhanced by machine learning capabilities while also balancing the day-to-day operations of existing automation that runs on thousands of units daily.
Responsibilities
Design and implement on-the-fly automated stress and stability hardware-centric software tests for embedded systems
Design and implement ML-powered test automation frameworks and validation tools
Understand the context where an application will be deployed, providing insights to potential failures
Write and update problem reports enhanced with ML analysis that explains issues, predicts root causes, and provides data-driven recommendations for fixes
Analyze large volumes of validation/test data and build predictive models to detect issues early
Thrive in uncertain, rapid project schedules, being able to quickly shift priorities, maximize testing time, and deploy AI solutions that adapt to changing requirements
Ensure scalability, reliability, and maintainability of systems in production environments
Work with cross-functional teams to help collect and define requirements for AI-enhanced tools, automation, and intelligent reporting systems
Provide training on a regular basis and mentor others as needed
Minimum Qualifications
Bachelors degree in CS/CE/EE and a minimum of 5 years relevant industry experience
Solid understanding of machine learning algorithms and their practical application
Knowledge of hardware/software validation, hardware/software integration, or testing methodologies
Strong programming skills and hands-on experience with Python
Experience with CoreML, Swift, and iOS/macOS machine learning development
Experience with relevant ML frameworks (PyTorch, TensorFlow, or JAX)
Experience building robust and scalable tools, frameworks and automation systems
Strong problem-solving skills and ability to work in a cross-disciplinary team environment
Excellent written and verbal communication skills
Preferred Qualifications
Strong verbal and written communication skills
Academic background in data science, machine learning, computer vision, and statistical data analysis
Experience in data analysis and developing data visualizations & reporting with tools such as Tableau or Superset
Experience applying ML to anomaly detection, predictive maintenance, or test optimization
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.
Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .
Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .
Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .
Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.